Damping Control of a Power System with DFIG Based on MPC for Inter-area Oscillations

Abstract

In order to improve the ability of a power system with doubly-fed induction generator (DFIG) to suppress low-frequency oscillations, this paper put forward a damping control strategy based on model predictive control (MPC). It is raised that stochastic subspace identification (SSI) is used to identity a power system with DFIG. Compared with other control strategies, configuring MPC can achieve the purpose of system optimization, which is to enhance the stability of a power system with DFIG. This paper uses the 4-machine 2-area system to compare results of MPC and traditional power system stabilizer (PSS) control in terms of damping characteristics, stability and applicability.